This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1029/2020JC016585. This is version 2 of this Preprint.
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Abstract
The Southern Ocean (SO) is a crucial region for the global ocean uptake of heat and carbon. There are large uncertainties in the observations of fluxes of heat and carbon between the atmosphere and the ocean mixed layer, which leads to large uncertainties in the amount entering into the global overturning circulation. In order to better understand where and when fluxes of heat and momentum have the largest impact on near-surface heat content, we use an adjoint model to calculate the linear sensitivities of heat content in SO mode water formation regions to surface fluxes. We find that the heat content of these regions is, in all three basins, most sensitive to recent, local heat fluxes, and to non-local wind one to eight years previously. This is supported by the calculation of sensitivities to potential temperature changes at constant density, which reveal the sources of the mode water formation regions, and by sensitivities to potential temperature changes with varying density, which reveal dynamic links with boundary current regions, the Antarctic Circumpolar Current, and wave-like features. A series of forward perturbation experiments in the fully non-linear model confirm that the adjoint model can accurately predict linear changes in heat content of fixed volume mode water formation regions. These experiments also highlight that nonlinear effects can be of importance, depending on the time and region investigated, and that the contribution of volume changes to heat content changes can be as large as or larger than the contribution from temperature changes.
DOI
https://doi.org/10.31223/osf.io/c5xn6
Subjects
Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
Keywords
Adjoint, heat flux, mode water, sensitivity, Southern Ocean, wind stress
Dates
Published: 2019-12-04 07:56
Last Updated: 2020-08-10 01:46
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License
CC BY Attribution 4.0 International
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Data Availability (Reason not available):
The model used to produce the data used in this preprint are freely available to download. The preprint contains all the information needed to rerun the experiments.
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